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When I’m asked to check a box to confirm I’m not a robot, I don’t give it a second thought – of course I’m not a robot.
On the other hand, when my keyboard guesses the next word I’m about to text, I start to doubt myself.
Just thinking out loud about building something to help me typing with more confidence and sound natural.
Food for thought: https://fortune-com.cdn.ampproject.org/c/s/fortune.com/2023/06/13/chatgpt-like-human-language-robots-linguistics-artificial-intelligence/amp
If you’re a non-engineer experimenting with prompt engineering, here’s the deal: understanding how LLMs actually work isn’t just a nice-to-have, it’s non-negotiable.
Take the Chain of Thought technique as an example. Using it after the model has already decided is like trying to screw in a bolt with a hammer, it’s just not going to work. At that point, the model isn’t “thinking” or “deliberating” anymore. It’s already locked in its answer and might just be scrambling to justify something wrong.
Sounds obvious, right? But tons of articles and tools (looking at you, Langchain) get this wrong. They miss the timing and end up using models to evaluate their own responses in ways that don’t make sense, leading to garbage conclusions.
If you want to build better AI solutions, get the basics down. Knowing how LLMs tick will save you headaches, lead to smarter results, and happier users.
Are Jonathan Haidt and Zach Rausch obsessed with looking for data to prove their point of view that social media is destroying women’s mental health all over the world, or are they right?
I’ve been following them for a while, and their research is quite interesting.
Artificially intelligent machines are all perception, no sensation; they’ll never be sentient so long as they only process information.
If we don’t understand what sentience is for, we’re likely to see it everywhere. Conversely, once we perceive its practical value, we’ll acknowledge its rarity.
Consciousness evolved to make us feel that life is worth living, a rare perception in this world.
https://www.newyorker.com/news/annals-of-inquiry/nicholas-humphreys-beautiful-theory-of-mind
What if an AI could interpret your imagination, turning images in your mind’s eye into reality?
I have some “touch centric” UX friends that don’t like this idea so much, but BCI (brain-computer interaction) has already shown promising results in several areas.
One of the most significant advancements has been in the field of medicine. BCI technology has been used to help people with severe paralysis or amputations to control prosthetic limbs using their thoughts, allowing them to perform tasks they never thought possible before.
In addition to the medical applications, BCI technology has also been explored in the gaming industry. For instance, a game called “Throw Trucks With Your Mind” was developed, which allowed players to control objects in the game using their thoughts. There is even new VR headset with EEG from OpenBCI.
Moreover, BCI has also been used in the field of neuroscience to better understand how the brain functions. Researchers have used BCI technology to study brain activity and develop new treatments for conditions such as epilepsy and Parkinson’s disease.
As technology continues to advance, the possibilities for BCI are limitless. With the ability to interpret our imagination, BCI could revolutionize the way we create art, design, and innovate. It could also allow people with communication difficulties, such as those with autism or stroke victims, to communicate more effectively with others.
Researchers found that they could reconstruct high-resolution and highly accurate images from brain activity by using the popular Stable Diffusion image generation model. The authors wrote that unlike previous studies, they didn’t need to train or fine-tune the AI models to create these images.
While BCI is still a relatively new and controversial field, the potential for advancements in medicine, gaming, and neuroscience is vast. By leveraging the power of AI and our own imaginations, we could be on the brink of a new era of human-computer interaction, where our thoughts can be transformed into reality.
Original article: https://lnkd.in/g_gxWmcv
OpenBCI Headset: https://openbci.com/